219 citations · 482 across the 14 of their papers we have counts for
14 papers
Efficient Heatmap-Guided 6-Dof Grasp Detection in Cluttered Scenes
Siang Chen, Wei Tang, Pengwei Xie +2
Fast and robust object grasping in clutter is a crucial component of robotics. Most current works resort to the whole observed point cloud for 6-Dof grasp generation, ignoring the…
MVKT-ECG: Efficient Single-lead ECG Classification on Multi-Label Arrhythmia by Multi-View Knowledge Transferring
Yuzhen Qin, Li Sun, Hui Chen +4
The widespread emergence of smart devices for ECG has sparked demand for intelligent single-lead ECG-based diagnostic systems. However, it is challenging to develop a single-lead-b…
A Dual-scale Lead-seperated Transformer With Lead-orthogonal Attention And Meta-information For Ecg Classification
Yang Li, Guijin Wang, Zhourui Xia +2
Auxiliary diagnosis of cardiac electrophysiological status can be obtained through the analysis of 12-lead electrocardiograms (ECGs). This work proposes a dual-scale lead-separated…
Adaptive Pixel-wise Structured Sparse Network for Efficient CNNs
Chen Tang, Wenyu Sun, Zhuqing Yuan +1
To accelerate deep CNN models, this paper proposes a novel spatially adaptive framework that can dynamically generate pixel-wise sparsity according to the input image. The sparse s…
ADMP: An Adversarial Double Masks Based Pruning Framework For Unsupervised Cross-Domain Compression
Xiaoyu Feng, Zhuqing Yuan, Guijin Wang +1
Despite the recent progress of network pruning, directly applying it to the Internet of Things (IoT) applications still faces two challenges, i.e. the distribution divergence betwe…
Bi-stream Pose Guided Region Ensemble Network for Fingertip Localization from Stereo Images
Guijin Wang, Cairong Zhang, Xinghao Chen +3
In human-computer interaction, it is important to accurately estimate the hand pose especially fingertips. However, traditional approaches for fingertip localization mainly rely on…
Two-Stream Binocular Network: Accurate Near Field Finger Detection Based On Binocular Images
Yi Wei, Guijin Wang, Cairong Zhang +3
Fingertip detection plays an important role in human computer interaction. Previous works transform binocular images into depth images. Then depth-based hand pose estimation method…
Interactive Hand Pose Estimation: Boosting accuracy in localizing extended finger joints
Cairong Zhang, Guijin Wang, Hengkai Guo +3
Accurate 3D hand pose estimation plays an important role in Human Machine Interaction (HMI). In the reality of HMI, joints in fingers stretching out, especially corresponding finge…
Depth-Based 3D Hand Pose Estimation: From Current Achievements to Future Goals
Shanxin Yuan, Guillermo Garcia-Hernando, Bjorn Stenger +21
In this paper, we strive to answer two questions: What is the current state of 3D hand pose estimation from depth images? And, what are the next challenges that need to be tackled?…
Motion Feature Augmented Recurrent Neural Network for Skeleton-based Dynamic Hand Gesture Recognition
Xinghao Chen, Hengkai Guo, Guijin Wang +1
Dynamic hand gesture recognition has attracted increasing interests because of its importance for human computer interaction. In this paper, we propose a new motion feature augment…
Pose Guided Structured Region Ensemble Network for Cascaded Hand Pose Estimation
Xinghao Chen, Guijin Wang, Hengkai Guo +1
Hand pose estimation from a single depth image is an essential topic in computer vision and human computer interaction. Despite recent advancements in this area promoted by convolu…
Towards Good Practices for Deep 3D Hand Pose Estimation
Hengkai Guo, Guijin Wang, Xinghao Chen +1
3D hand pose estimation from single depth image is an important and challenging problem for human-computer interaction. Recently deep convolutional networks (ConvNet) with sophisti…
Region Ensemble Network: Improving Convolutional Network for Hand Pose Estimation
Hengkai Guo, Guijin Wang, Xinghao Chen +3
Hand pose estimation from monocular depth images is an important and challenging problem for human-computer interaction. Recently deep convolutional networks (ConvNet) with sophist…
Two-stream convolutional neural network for accurate RGB-D fingertip detection using depth and edge information
Hengkai Guo, Guijin Wang, Xinghao Chen
Accurate detection of fingertips in depth image is critical for human-computer interaction. In this paper, we present a novel two-stream convolutional neural network (CNN) for RGB-…